Support Vector Machines in Python, From Start to Finish
Completed by Pedro Danilo Matsusaki Marcato
August 16, 2020
1 hours (approximately)
Pedro Danilo Matsusaki Marcato's account is verified. Coursera certifies their successful completion of Support Vector Machines in Python, From Start to Finish
What you will learn
Import data into, and manipulating a pandas dataframe
Format the data for a support vector machine, including One-Hot Encoding and missing data.
Optimize parameters for the radial basis function and classification
Build, evaluate, draw and interpret a support vector machine
Skills you will gain
- Category: Statistical Machine Learning
- Category: Model Training
- Category: Classification Algorithms
- Category: Cloud Computing
- Category: Tensorflow
- Category: Data Preprocessing
- Category: Machine Learning Methods
- Category: Scientific Visualization
- Category: Python Programming
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Data Science
